As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational ...
A 'picker' gathers items at Amazon's Fulfilment Centre in Peterborough, central England, on November 28, 2013. 'Cyber Monday' which falls this year on Monday December 2, 2013, is expected to be the ...
Vector databases have moved from a niche component of generative AI infrastructure to standard tooling across data-intensive industries. The technology now supports a range of enterprise applications ...
AI generates complex, multilayered data sets that traditional databases can't handle. Top vector databases in the market use their search capabilities to quickly sift through text and images. The ...
In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...
SAN FRANCISCO, April 28, 2026 /PRNewswire/ -- At AI Dev 26 x SF today, Actian, the data and AI division of HCLSoftware, announced Actian VectorAI DB, a portable vector database purpose-built to power ...
PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
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